Climate change drives NDVI variations at multiple spatiotemporal levels rather than human disturbance in Northwest China

Shang, Jiaxin; Zhang, Yang; Peng, Yu; Huang, Yong; Zhu, Lu; Wu, Zhuoyi; Wang, Jing; Cui, Yixin

doi:10.1007/s11356-021-16774-2

Cited by 13 publications

(6 citation statements)

References 64 publications

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“…Therefore, the NDVI is the first useful tool to combine climate, vegetation, and animal activities and performance in large space and time scales. So far, numerous studies have focused on the influence of natural factors on NDVI (Shang et al 2022;Liu et al 2010), with emphasis on large-scale regions such as the Earth (Ruan et al 2022;Wu et al 2015), the northern hemisphere (Tucker et al 2001), and regions at high latitudes (Huemmrich et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal evolution characteristics and driving forces of vegetation cover variations in the Chengdu-Chongqing region of China under the background of rapid urbanization

Zhang,

Wang

et al. 2024

Environ Sci Pollut Res

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：The research on the spatiotemporal changes and driving factors of ecosystems in rapidly urbanizing regions has always been a topic of widespread concern. As the fourth pole of China's economic development, the research on the Chengdu-Chongqing region has reference significance for the urbanization process of developing countries such as India, Brazil, and South Africa.The normalized difference vegetation index (NDVI) has been widely applied in studies of plant and ecosystem changes. Based on MODIS NDVI data from 2001 to 2020 and meteorological data of the same period, this study reveal the evolution of NDVI in the Chengdu-Chongqing region from three aspects: the spatiotemporal variation characteristics of NDVI, the prediction of future trends in vegetation coverage, and the response of vegetation to climate change and human activities. During the period of plant growth, the mean NDVI achieved a value of 0.78, and the vegetation coverage rate is increasing year by year. According to the Hurst index, the future NDVI in Chengdu-Chongqing region will tend to decrease, and its trend is opposite to that of the past period of time. The Chengdu-Chongqing region vegetation positively affected by human activities are greater than those negatively affected, and in terms of vegetation degradation, the impact of human activities is greater than climate change.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal evolution characteristics and driving forces of vegetation cover variations in the Chengdu-Chongqing region of China under the background of rapid urbanization

Zhang,

Wang

et al. 2024

Environ Sci Pollut Res

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show abstract

“…Therefore, the NDVI is the rst useful tool to combine climate, vegetation, and animal activities and performance in large space and time scales. So far, numerous studies have focused on the in uence of natural factors on NDVI 19,20 , with emphasis on large-scale regions such as the Earth 21,22 , the northern hemisphere 23 , and regions at high latitudes 24 .…”

Section: Introductionmentioning

confidence: 99%

Analysis of the spatio-temporal evolution characteristics and driving forces of the NDVI in the Chengdu-Chongqing region from 2001 to 2020

Zhang,

Wang

et al. 2023

Preprint

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The research on the spatiotemporal changes and driving factors of ecosystems in rapidly urbanizing regions has always been a topic of widespread concern. As the fourth pole of China's economic development, the research on the Chengdu-Chongqing region has reference significance for the urbanization process of developing countries such as India, Brazil, and South Africa.The normalized difference vegetation index (NDVI) has been widely applied in studies of plant and ecosystem changes. Based on MODIS NDVI data from 2001 to 2020 and meteorological data of the same period, this study reveal the evolution of NDVI in the Chengdu-Chongqing region from three aspects: the spatiotemporal variation characteristics of NDVI, the prediction of future trends in vegetation coverage, and the response of vegetation to climate change and human activities. During the period of plant growth, the mean NDVI achieved a value of 0.78, and the vegetation coverage rate is increasing year by year. According to the Hurst index, the future NDVI in Chengdu-Chongqing region will tend to decrease, and its trend is opposite to that of the past period of time. The Chengdu-Chongqing region vegetation positively affected by human activities are greater than those negatively affected, and in terms of vegetation degradation, the impact of human activities is greater than climate change.

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“…Vegetation dynamics, in particular, are important indicators of the impact of global climate change (Qu et al, 2020). As a wide-ranging and persistent disturbance, climate fluctuations substantially affect the overall stability of vegetation and drive changes in vegetation cover Huang and Xia, 2019;Shang et al, 2022). In arid and semi-arid regions, climate change has been identified as the primary cause of shifts in vegetation dynamics Miao et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Heterogeneity and non-linearity of ecosystem responses to climate change in the Qilian Mountains National Park, China

Gao

Wen

et al. 2023

J. Arid Land

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Ecosystem responses to climate change, particularly in arid environments, is an understudied topic. This study conducted a spatial analysis of ecosystem responses to short-term variability in temperature, precipitation, and solar radiation in the Qilian Mountains National Park, an arid mountainous region in Northwest China. We collected precipitation and temperature data from the National Science and Technology Infrastructure Platform, solar radiation data from the China Meteorological Forcing Dataset, and vegetation cover remote-sensing data from the Moderate Resolution Imaging Spectroradiometer. We used the vegetation sensitivity index to identify areas sensitive to climate change and to determine which climatic factors were significant in this regard. The findings revealed a high degree of heterogeneity and non-linearity of ecosystem responses to climate change. Four types of heterogeneity were identified: longitude, altitude, ecosystem, and climate disturbance. Furthermore, the characteristics of nonlinear ecosystem responses to climate change included: (1) inconsistency in the controlling climatic factors for the same ecosystems in different geographical settings; (2) the interaction between different climatic factors results in varying weights that affect ecosystem stability and makes them difficult to determine; and (3) the hysteresis effect of vegetation increases the uncertainty of ecosystem responses to climate change. The findings are significant because they highlight the complexity of ecosystem responses to climate change. Furthermore, the identification of areas that are particularly sensitive to climate change and the influencing factors has important implications for predicting and managing the impacts of climate change on ecosystems, which can help protect the stability of ecosystems in the Qilian Mountains National Park.

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Climate change drives NDVI variations at multiple spatiotemporal levels rather than human disturbance in Northwest China

Cited by 13 publications

References 64 publications

Spatiotemporal evolution characteristics and driving forces of vegetation cover variations in the Chengdu-Chongqing region of China under the background of rapid urbanization

Spatiotemporal evolution characteristics and driving forces of vegetation cover variations in the Chengdu-Chongqing region of China under the background of rapid urbanization

Analysis of the spatio-temporal evolution characteristics and driving forces of the NDVI in the Chengdu-Chongqing region from 2001 to 2020

Heterogeneity and non-linearity of ecosystem responses to climate change in the Qilian Mountains National Park, China

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